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Training a video action recognition model v1.0.0
Use this resource to train and run a TAO video action recognition model
New
- 351 downloads
- 119 likes
- 124 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install video-action-recognition-trainingWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent writes the training spec from typical overrides, checks the per-action dataset requirements, then runs training in Docker followed by evaluation. It handles RGB, optical flow or combined inputs. You get a valid spec and a checked run.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- references/spec_template_train.yaml: training spec
- schemas/evaluate.schema.json: evaluation schema
- references/skill_info.yaml: skill information
Good fit for
- You classify actions in short video clips
- You compare an RGB model with an RGB plus optical flow model
Not for
Tags
- action recognition
- video
- TAO
- optical flow
About
You say
“Train an RGB plus optical flow action recognition model on my annotated clips.”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to train and run a TAO video action recognition model
- Review and adjust the result
Content preview
Files
- BENCHMARK.md7.1 KB
- config/skillspector-baseline.yaml1 KB
- evals/evals.json0.8 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/skill_info.yaml2.8 KB
- references/spec_template_evaluate.yaml1.9 KB
- references/spec_template_export.yaml1.7 KB
- references/spec_template_inference.yaml1.9 KB
- references/spec_template_train.yaml1.7 KB
- schemas/evaluate.schema.json27.5 KB
- schemas/export.schema.json25.2 KB
- schemas/inference.schema.json27.5 KB
- schemas/manifest.json6.3 KB
- schemas/train.schema.json24.1 KB
- skill-card.md4.9 KB
- SKILL.md11.8 KB
- skill.oms.sig7.1 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-train-action-recognition
- Licence
- Apache-2.0
Notice
« tao-train-action-recognition » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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